Markov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

to appear in Physica A

Scientific paper

10.1016/j.physa.2006.01.081

We show by explicit closed form calculations that a Hurst exponent H that is not 1/2 does not necessarily imply long time correlations like those found in fractional Brownian motion. We construct a large set of scaling solutions of Fokker-Planck partial differential equations where H is not 1/2. Thus Markov processes, which by construction have no long time correlations, can have H not equal to 1/2. If a Markov process scales with Hurst exponent H then it simply means that the process has nonstationary increments. For the scaling solutions, we show how to reduce the calculation of the probability density to a single integration once the diffusion coefficient D(x,t) is specified. As an example, we generate a class of student-t-like densities from the class of quadratic diffusion coefficients. Notably, the Tsallis density is one member of that large class. The Tsallis density is usually thought to result from a nonlinear diffusion equation, but instead we explicitly show that it follows from a Markov process generated by a linear Fokker-Planck equation, and therefore from a corresponding Langevin equation. Having a Tsallis density with H not equal to 1/2 therefore does not imply dynamics with correlated signals, e.g., like those of fractional Brownian motion. A short review of the requirements for fractional Brownian motion is given for clarity, and we explain why the usual simple argument that H unequal to 1/2 implies correlations fails for Markov processes with scaling solutions. Finally, we discuss the question of scaling of the full Green function g(x,t;x',t') of the Fokker-Planck pde.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Markov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Markov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Markov Processes, Hurst Exponents, and Nonlinear Diffusion Equations with application to finance will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-167057

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.